cca.example: Sample data for Correlational Class Analysis.

Description Usage Format Source Examples

Description

A randomly generated sample dataset for correlational class analysis, created using the approach described in Boutyline (under review). rownames(cca.example) contain the true schematic class membership for each row. Every row belonging to one schematic class was created from noisy linear transformations of the same vector.

Usage

1

Format

The format is: num [1:754, 1:10] 4 7 4 7 4 4 7 3 9 8 ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:754] "1" "1" "1" "1" ... ..$ : NULL

Source

Boutyline, Andrei. Under review. "Correlational Class Analysis Draws a More Accurate Map (Comment on Goldberg)." Working paper available from www.ocf.berkeley.edu/~andrei.

Examples

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2

Example output

Loading required package: igraph

Attaching package: 'igraph'

The following objects are masked from 'package:stats':

    decompose, spectrum

The following object is masked from 'package:base':

    union

Filtering out correlations for which Pr(|r| != 0) >  0.01 
CCA found 3 schematic classes. Sizes: 218 391 144  

corclass documentation built on May 30, 2017, 6:49 a.m.